Exemplar based inpainting in a multi-scaled space

Kim, Baek-Sop; Kim, JunSeong; Park, Jaehwa

doi:10.1016/j.ijleo.2015.07.168

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…The traditional exemplar method worked on single resolution, which have been modified to multi-resolution for better results and less computational time consumption. In [22] authors presented recursive method based on image pyramid. For a given input image laplacian pyramids are generated.…”

Section: Multi-resolution Exemplar Methodsmentioning

confidence: 99%

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A qualitative study of Exemplar based Image Inpainting

Shroff

Bombaywala

2019

SN Appl. Sci.

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Image inpainting is exploring the way of filling the missing or left out regions in an image by only having knowledge of surrounding pixel values. One of the block matching algorithms use for image inpainting is exemplar based technique. Exemplar based image inpainting method search the best matching patch for the target region in the image and when it is obtained, the pixel values are copied from the source region and pasted to the target region. The selections of different patch matching criteria, patch size and filling order have a great affect on the results. This paper describes some of the variations in traditional exemplar method which include change in patch selection, priority, patch size and multiresolution inpainting. The advantages and drawbacks for the modified methods are also discussed here.

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Section: Multi-resolution Exemplar Methodsmentioning

confidence: 99%

“…Inpainting in multi resolution would reduce the search range for best patch and consume less inpainting time. A hierarchical method working on image pyramid was proposed in [22][23][24]. Kim et al proposed image pyramid method which is obtained by dividing original image to set of images having different resolutions.…”

Section: Introductionmentioning

confidence: 99%

A qualitative study of Exemplar based Image Inpainting

Shroff

Bombaywala

2019

SN Appl. Sci.

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“…In addition, the dropping effect of a confidence term was also an obvious drawback, so Wang et al [15] introduced a regularized factor to limit the adverse effect and improved matching accuracy through a two-round search. Hereafter, a multi-scaled space method using a multi-resolution hierarchy was proposed by Kim et al [16] and Liu et al [17] that it can reduce workload and restore more textural information and structural features. Wang et al [18] improved the priority estimation and structure consistency considered in patch matching.…”

Section: Introductionmentioning

confidence: 99%

Exemplar-based image inpainting using angle-aware patch matching

Zhang

Liu

et al. 2019

J Image Video Proc.

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Image inpainting has been presented to complete missing content according to the content of the known region. This paper proposes a novel and efficient algorithm for image inpainting based on a surface fitting as the prior knowledge and an angle-aware patch matching. Meanwhile, we introduce a Jaccard similarity coefficient to advance the matching precision between patches. And to decrease the workload, we select the sizes of target patches and source patches dynamically. Instead of just selecting one source patch, we search for multiple source patches globally by the angle-aware rotation strategy to maintain the consistency of the structures and textures. We apply the proposed method to restore multiple missing blocks and large holes as well as object removal tasks. Experimental results demonstrate that the proposed method outperforms many current state-of-the-art methods in patch matching and structure completion.

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“…Wavelet-based inpainting methods are further proposed in [12,13]. Pyramid decomposition inpainting is proposed in [14][15][16]; however, it was not well suited for recovering textures with large areas.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Guidance Strategy and Exemplar-Based Image Inpainting

Liu

et al. 2018

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To solve the issue that it is difficult to maintain the consistency of linear structures when filling large regions by the exemplar-based technique, a hierarchical guidance strategy and exemplar-based image inpainting technique is proposed. The inpainting process is as follows: (i) the multi-layer resolution images are firstly acquired through decomposing of the pyramid on the target image; (ii) the top-layer inpainted image, the beginning of the inpainting from the top layer, is generated by the exemplar-based technique; (iii) there is a combined result between the next layer of the top image and the up-sampling output on the top-layer inpainted image, and the target regions are filled with information as guidance data; (iv) this process is repeated until the inpainting of all layers have been completed. Our results were compared to those obtained by existing techniques, and our proposed technique maintained the consistency of linear structures in a visually plausible way. Objectively, we choose SSIM (structural similarity index measurement) and PSNR (peak signal-to-noise ratio) as the measurement indices. Since the values of SSIM are well reflected when compared with other techniques, our technique clearly demonstrated that our approach is better able to maintain the consistency of linear structures. The core of our algorithm is to fill large regions whether they are synthesis images or real-scene photographs. It is easy to apply in practice, with the goal of having plausible inpainted image.

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Exemplar based inpainting in a multi-scaled space

Cited by 5 publications

References 8 publications

A qualitative study of Exemplar based Image Inpainting

A qualitative study of Exemplar based Image Inpainting

Exemplar-based image inpainting using angle-aware patch matching

Hierarchical Guidance Strategy and Exemplar-Based Image Inpainting

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